Jobs at Micron Technology

Plan and execute production to meet weekly output, on-time delivery, cycle time, and inventory targets. Analyze daily operations, forecast materials, resolve bottlenecks, drive continuous improvement, ensure safety, and integrate AI-assisted tools to improve efficiency and quality.

Lead cost improvement programs across HBM, MCP, LPDRAM, and SSD manufacturing. Manage month-end close, budgeting, capex optimization, FCF deliverables, material consumption, and cost-per-part projections. Partner with finance and site teams, deploy dashboards and AI-assisted tools, and promote Lean best practices to improve cost competitiveness.

Drive performance optimization across PWF, Assembly (HBM/advanced packaging) and Test operations by identifying and implementing data-driven improvements in output, cycle time, cost, and efficiency. Lead cross-functional automation and process-improvement projects, deploy real-time scheduling/dispatch tools, support factory automation systems, and train teams on modernization systems. Integrate AI-assisted tools responsibly to enhance operational effectiveness and share continuous-improvement insights.

Drive incoming material quality by implementing IQC processes, SAP QM, SPC monitoring, and iMRB material disposition. Qualify IQC tools, document procedures, support first article inspections and supplier audits, collaborate with global stakeholders, and integrate AI-assisted tools to improve efficiency and continuous improvement.

Lead and implement Lean transformation across HBM, component assembly/test, and SSD operations. Facilitate Kaizen, VSM, and workshops; drive continuous improvement programs, training, diagnostics, and KPIs. Integrate AI-assisted tools, coordinate central and site teams, report progress to leadership, and ensure projects meet targets.

Develop and maintain metrology measurement recipes and inspection strategies to detect defects and improve yield. Use advanced analytics and SPC to monitor tools, design experiments to find defect sources, collaborate with cross-functional teams and suppliers, and run projects to improve inline detection, efficiency, cost, and tool availability. Integrate AI-assisted tools and provide data-driven recommendations to support fab operations and continuous improvement.

Lead site learning and development by implementing training plans, conducting needs analyses, designing OJT and onboarding, mentoring employees, managing training data and reports using digital/AI tools, collaborating with stakeholders, and driving change management and continuous improvement to enhance operational capability.

Engineering intern will design and validate a mechanical automation solution for repeatable SSD hot-plug testing in enterprise servers. Responsibilities include defining requirements, developing fixtures and actuator mechanisms, integrating microcontrollers, creating Python or shell-based automation, conducting engineering evaluations, analyzing results, troubleshooting hardware-software integration, and documenting recommendations. The project spans mechanical, electrical, firmware, software, and validation disciplines and requires a full-time commitment of at least five months.

Develop and manage software applications in an automated semiconductor manufacturing environment. Translate business requirements into technical solutions, maintain secure software development practices, perform testing and training, apply system updates, monitor applications, prevent downtime, and use AI-powered tools to improve delivery and operational efficiency. The role also provides technical guidance, supports manufacturing software issues, and collaborates with global IT teams using agile practices.

Manage software application lifecycles in an automated semiconductor manufacturing environment. Analyze business and technical requirements, develop and maintain software systems, apply secure development practices, test and release updates, monitor systems, prevent downtime, and resolve high-priority manufacturing application issues. Collaborate with global IT teams and use AI-powered development, automation, and analytics tools to improve software delivery and operational efficiency.

Develop a digital twin and analytics framework for semiconductor photolithography equipment. Analyze utilization, throughput, cycle time, and operational data using statistics, machine learning, simulation, and visualization. Build dashboards and predictive models to identify bottlenecks, evaluate optimization scenarios, and improve equipment productivity. Collaborate with engineering teams, document findings, and present recommendations for manufacturing improvement.

Operate and engineer database systems supporting manufacturing and engineering. Responsibilities include installation, upgrades, patching, access management, backups, performance tuning, monitoring, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.

Manages the application lifecycle for software systems in an automated semiconductor manufacturing environment. Translates business requirements into technical solutions, supports secure software development, conducts testing and user training, applies software and hardware updates, monitors systems to prevent downtime, and resolves high-priority manufacturing application issues. The role also promotes automation, analytics, and AI-enabled development while collaborating with global IT teams and advising management.

Own and improve semiconductor reliability laboratory processes, including qualification, implementation, monitoring, troubleshooting, and continuous improvement. Lead technicians, root-cause analysis, corrective actions, process controls, data analysis, and automation initiatives. Develop specifications, SOPs, control plans, and reaction plans while partnering with Operations, Equipment, Quality, Product, and Engineering teams to ensure reliable, compliant, and efficient process execution.

Supports semiconductor process integration and yield improvement by collecting production data, performing basic analysis, preparing reports, assisting with issue investigations, executing variability-reduction activities, and maintaining accurate documentation. Partners with engineering, process, test, product, and quality teams to improve manufacturing stability and monitor abnormalities. The role requires technical semiconductor knowledge, basic data-analysis capabilities, effective communication, and availability for 12-hour rotating shifts.

Leads high-volume manufacturing photo and overlay metrology initiatives focused on yield, quality, productivity, cost, and process alignment. Resolves complex issues through data-driven root-cause analysis, defines and deploys Best Known Methods across fabs and nodes, drives MOR-POR gap closure, and serves as a technical escalation point. Partners with internal teams and suppliers, influences supplier roadmaps, and represents the organization in technical reviews and governance forums.

Operates metrology and inspection tools to measure product integrity, detect defects, monitor process deviations, collect data, and support engineer-led investigations. Performs basic troubleshooting, equipment maintenance, tool qualification, material disposition, and data analysis in a semiconductor manufacturing environment. Supports continuous improvement projects, supplier trials, recipe maintenance, and operational readiness while following safety and quality procedures. Requires availability for 12-hour morning or night shifts.

Leads semiconductor front-end capacity and capital planning through scenario analysis, optimization, industrial engineering, and AI-enabled analytics. Develops loading plans, evaluates technology transitions and capital requirements, forecasts and monitors spending, analyzes cost variances, and supports executive decisions. Builds dashboards, automates planning workflows, manages databases and scenario controls, and coordinates business planning with stakeholders across sites and departments.

Own and prioritize the product backlog for Industrial & Physical AI: translate stakeholder needs into requirements, run hybrid agile/waterfall delivery, partner with engineering, manage vendors, lead UAT/change management and scale pilots across global fab construction and operations.

The Global Facilities Regional Engineering Electrical Engineer leads projects on electrical systems, ensuring standards, cost control, and sustainability initiatives at manufacturing sites.